Sašo Pavlič
Chief Technology Officer at Kvaliteta d.o.o.
Maribor, Slovenia
Summary
👤
Senior🎓
Top SchoolSašo Pavlič is a technology leader and PhD candidate in Computer Science with nine years of hands-on experience across full-stack development, machine learning engineering, and DevOps. As CTO of a family-run firm he built local infrastructure—Ubuntu servers, containerized deployments, Nextcloud, Pi-hole and Zigbee integrations—while driving data-driven marketing and operational automation. Previously he engineered ETL pipelines, model development and REST-deployed ML services at Ineor and explored end-to-end software solutions at NXP, blending research curiosity with production discipline. His academic focus on machine learning and computer vision complements practical skills in deployment and workflow orchestration, and he spends daylight hours in nature and evenings prototyping cyber side-projects. Notably, he combines deep technical experimentation (3D printing, home automation) with strategic tooling choices to accelerate small-business digital transformation.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Machine learning & Computer Vision, Doctor of Philosophy - PhD, Machine learning & Computer Vision at Universitat Rovira i VirgiliMaster's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Technische Universität GrazDoctor of Philosophy - PhD, Computer and Information Sciences, General, Doctor of Philosophy - PhD, Computer and Information Sciences, General at Univerza v MariboruSrednja Elektro-Računalniška šola MariborInternational Business, International Business at Donghua University
Stackoverflow
89reputation
125kreached
3answers
4questions
Github Skills (47)
riotjs8
docker-registry7
cuda6
mongodb6
powerbi6
tensorflow6
odbc6
python6
network-drive6
authentication6
react5
user-interface5
docker5
harbor4
cpython4
Programming languages (6)
Github contributions (5)
SasoPavlic/NiaNet
Feb 2022 - Nov 2022
Designing and constructing neural network topologies using nature-inspired algorithms
Contributions:2 releases, 27 commits, 3 PRs in 9 months
nature-inspired-algorithmsdeep-learningnatureneural-networksmachine-learning
SasoPavlic/NiaNetCAE
May 2023 - Sep 2024
Designing and constructing convolutional autoencoders using nature-inspired algorithms
Contributions:2 PRs, 36 pushes in 1 year 4 months
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